DATA OPERATIONS ENGINEER RESUME EXAMPLE

Published: October 4, 2024 - The Data Operations Engineer addresses customer issues with data platforms through multiple communication channels, including phone and email, ensuring timely and effective solutions. This role collaborates with internal teams such as network support and system owners to prepare accurate reports, create code patches for service restoration, and update incident management systems. Additionally, the engineer tests solutions, escalates complex issues to specialized teams and supports end users in leveraging data platforms for diverse analytical needs.

Tips for Data Operations Engineer Skills and Responsibilities on a Resume

1. Data Operations Engineer, BlueMatrix Solutions, Portland, OR

Job Summary:

  • Manage, monitor, and resolve operational issues with EDW & Data Marts in collaboration with Data Ops.
  • Manage security and information confidentiality.
  • Manage, monitor, assess, and resolve data quality issues
  • Work with Data Science colleagues to produce models
  • Evolve the data platform and associated data assets to liberate value from data
  • Integrate new data into the data platform ensuring consistency in design standards
  • Follow agreed standards and processes to ensure the value of data initiatives can be realized in a compliant and controlled manner, ensuring quality, consistency, and safety of the data we work with while protecting customers' privacy.
  • Support the Enterprise Data Governance program (data quality investigation/adherence to standards etc)
  • Maintain enterprise data model in line with data engineering deliverables
  • Drive Data quality improvement within the Ocado Retail Data Asset


Skills on Resume: 

  • Data Quality Management (Hard Skills)
  • Data Governance (Hard Skills)
  • Data Integration (Hard Skills)
  • Collaboration (Soft Skills)
  • Problem Solving (Soft Skills)
  • Data Security (Hard Skills)
  • Data Platform Development (Hard Skills)
  • Data Modeling (Hard Skills)

2. Data Operations Engineer, SilverLynx Analytics, Denver, CO

Job Summary:

  • Communicate and solve customers' problems relating to data platforms via phone, email, live chat and face-to-face meetings
  • Work with all internal groups, including network support, system owner and other support teams
  • Prepare accurate and timely reports
  • Create and provide patches and code fixes for the restoration of services (i.e. hotfixes, upgrades etc.)
  • Provide update packages to the code
  • Provide regular updates to Incident Management
  • Test and fixes and workarounds
  • Escalate and assign events, faults, issues, incidents and problems to appropriate teams
  • Assist deployments where appropriate
  • Call out to hardware, OS and third-party support, where appropriate
  • Assist and educate end users on utilizing data platforms to address various data & analytics needs


Skills on Resume: 

  • Customer Communication (Soft Skills)
  • Collaboration (Soft Skills)
  • Reporting (Hard Skills)
  • Code Fixes (Hard Skills)
  • Incident Management (Hard Skills)
  • Testing (Hard Skills)
  • Escalation Management (Hard Skills)
  • User Support (Soft Skills)

3. Data Operations Engineer, QuantumData Systems, Raleigh, NC

Job Summary:

  • Work with DBA teams and broader engineering teams to build scalable data orchestration, transformation and reporting streams that can capture and prepare billions of transactions per day for customer reporting
  • Build, implement and iterate on operations infrastructure including ci/cd, Monitoring, and Alerting using various cloud technologies
  • Build, implement and monitor a data quality framework with the required ci/cd pipeline, code instrumentation and real-time monitoring tools.
  • Practice/Implement data security, encryption and masking policies across various data sets and data sources
  • Communicate status and big picture to the project team and management
  • Work with business and engineering teams to identify scope, constraints, dependencies, and risks
  • Identify risks and opportunities across the business and drive solutions
  • Infrastructure as code, configuration management, change release processes, and tooling for said platform
  • Improving observability in the data environment, including uptime, usage, data quality, and data freshness
  • Bring and analyze raw data from outside DLJ sources


Skills on Resume: 

  • Data Orchestration (Hard Skills)
  • Infrastructure Development (Hard Skills)
  • Data Quality Framework (Hard Skills)
  • Data Security Practices (Hard Skills)
  • Project Communication (Soft Skills)
  • Risk Management (Hard Skills)
  • Infrastructure as Code (Hard Skills)
  • Data Analysis (Hard Skills)

4. Data Operations Engineer, VectorEdge Technologies, Austin, TX

Job Summary:

  • Assists in gathering requirements for configuration, maintenance, and upgrade of SCADA/control and automation systems
  • Ensures connectivity and automation of data collection from lab scale equipment and instruments
  • Supports opportunities to standardize data collection and data transfer solutions
  • Participates in development, ongoing support, and delivery activities related to data services
  • Supports rollout of Industry 4.0 digital initiatives
  • Solves a range of increasingly complex problems and analyzes data solutions by acquiring new Knowledge
  • Helps coordinate efforts of IT support groups and external resources such as vendors and consultants
  • Assists users in troubleshooting SCADA and control system-related problems
  • Contributes to new computer platform design and data-driven solutions
  • Responsible for support of laboratory/automation data historians and analytics systems


Skills on Resume: 

  • Requirements Gathering (Hard Skills)
  • Data Connectivity (Hard Skills)
  • Standardization (Hard Skills)
  • Data Services Support (Hard Skills)
  • Industry 4.0 Implementation (Hard Skills)
  • Problem Solving (Soft Skills)
  • Coordination (Soft Skills)
  • Troubleshooting (Soft Skills)

5. Data Operations Engineer, TerraSphere Solutions, Sacramento, CA

Job Summary:

  • Provides Windows OS environment support, maintenance and patching in a controlled environment
  • Troubleshoots Windows log files and performance
  • Maintains up-to-date knowledge of modern data technologies and data management Platforms
  • Assists with support and planning of data-related and system architecture portion of CAPEX projects
  • Prepares data-related procedures and documentation
  • Adheres to project budgets and schedules, performing work in accordance with internal SOPs and good Engineering Practices, as well as, regulations and compliance
  • Supports testing of deliverables and provides data analysis
  • Supports activities related to the global LIMS project
  • Manages and optimizes processes for data intake, transfer, validation, and visualization
  • Communication and Stakeholder Management
  • Clearly communicate ideas and work to different stakeholders
  • Work with stakeholders to identify opportunities for leveraging data to drive solutions


Skills on Resume: 

  • Windows OS Support (Hard Skills)
  • Troubleshooting (Hard Skills)
  • Data Technology Knowledge (Hard Skills)
  • Project Support (Hard Skills)
  • Documentation (Hard Skills)
  • Compliance Adherence (Hard Skills)
  • Data Process Management (Hard Skills)
  • Stakeholder Communication (Soft Skills)

6. Data Operations Engineer, DataWave Consulting, Columbus, OH

Job Summary:

  • Identify, analyze, model and interpret trends or patterns in complex data sets (pre and post-campaign) using statistical techniques and provide ongoing reports and dashboards
  • Lead Data segmentation work to support monthly partner, distributor and seller notification campaigns around the installed base, renewals and growth partnering closely with the SFMC platform team
  • Collaborate with business and IT teams to understand the different persona-specific-use cases, 
  • Consolidate use cases across persona and drive a common approach towards solving multiple use cases
  • Partner and lead cross-functional teams to realize data relationships through proper threading
  • Analyze logs from Total Partner View (TPV), Lifecycle Advantage (LCA) & Salesforce Marketing Cloud (SFMC)
  • Define data privacy and protection processes required and implement systems and workflows that enforce security
  • Partner with Data Custodians/Stewards and other data management roles to ensure proper data operations improve the quality, accessibility and value of consumed data
  • Partner with the Digital Renewals Team, Channels IT and Ready IT team to develop CX-wide data and information architecture
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques


Skills on Resume: 

  • Data Analysis (Hard Skills)
  • Data Segmentation (Hard Skills)
  • Collaboration (Soft Skills)
  • Use Case Consolidation (Hard Skills)
  • Cross-Functional Leadership (Soft Skills)
  • Log Analysis (Hard Skills)
  • Data Privacy Compliance (Hard Skills)
  • Data Quality Improvement (Hard Skills)

7. Data Operations Engineer, Apex DataWorks, Phoenix, AZ

Job Summary:

  • Develop and maintain data warehouse infrastructure (AWS Postgres)
  • Maintain and augment extract, load and transform (ELT) processes
  • Ensure data accuracy via verifying, cleansing and transforming data
  • Maintain and augment relational data models
  • Deploy and maintain data infrastructure for ML models and internal analytics products
  • Prepare data for downstream use
  • Maintain documentation
  • Implement and maintain a Data Governance Strategy
  • Implement and maintain a Data Security Strategy
  • Identify, define and implement data process improvements to generate value with existing and potential data sources
  • Champion a data-driven company culture
  • Update data acquisition workflows to improve efficiency, and accuracy and broaden coverage of content


Skills on Resume: 

  • Data Warehouse Development (Hard Skills)
  • ELT Process Management (Hard Skills)
  • Data Accuracy Assurance (Hard Skills)
  • Relational Data Modeling (Hard Skills)
  • ML Infrastructure Deployment (Hard Skills)
  • Documentation Maintenance (Hard Skills)
  • Data Governance Implementation (Hard Skills)
  • Process Improvement (Hard Skills)

8. Data Operations Engineer, InsightCore Analytics, Salt Lake City, UT

Job Summary:

  • Review the performance of data operations and develop efficiencies as data grows
  • Evaluate technologies used for data workflows and implement plans to use the most appropriate technologies for any given task
  • Develop data mart reporting solutions to meet business needs
  • Develop processes that perform data extracts and deliveries to support Global Ops
  • Review existing support items and identify opportunities to reduce support requests
  • Engage in the development of enhancements to existing web and console-based systems in a variety of programming languages to drive the technological capabilities of the firm
  • Provide support for existing applications
  • Apply predefined acceptance and quality criteria to guarantee the integrity of financial data sets
  • Collaborate with portfolio managers and data engineers to understand and continually improve the central data offering provided to the business
  • Extend tooling to help scaleability to manage content within the organization
  • Investigate and remediate production alerts, leveraging runbooks to share analysis with others


Skills on Resume: 

  • Data Operations Review (Hard Skills)
  • Technology Evaluation (Hard Skills)
  • Reporting Solutions Development (Hard Skills)
  • Data Extraction Processes (Hard Skills)
  • Support Request Reduction (Soft Skills)
  • System Enhancement Development (Hard Skills)
  • Quality Assurance (Hard Skills)
  • Collaboration (Soft Skills)

9. Data Operations Engineer, CloudFusion Systems, Orlando, FL

Job Summary:

  • Develop spark code in Python, Scala and/or SQL.
  • Conduct Performance Testing and Profiling of code using a variety of tools and techniques.
  • Build workflows to automate data flow using Python and ADF.
  • Write code to build automation pipelines for deployment and other automation needs.
  • Initiate and lead discovery and development for system monitoring activities at various tiers and components.
  • Develop data integration and comparison routines to assist with data migrations from legacy systems to new.
  • Play an active role in the design, development, and Migration of Big Data solutions to Azure.
  • Manage and organize fault-tolerant data pipelines
  • Manage relational databases and data warehouses in AWS
  • Support and optimize databases and data loading processes and improve operational efficiency


Skills on Resume: 

  • Spark Code Development (Hard Skills)
  • Performance Testing (Hard Skills)
  • Workflow Automation (Hard Skills)
  • Automation Pipeline Development (Hard Skills)
  • System Monitoring (Hard Skills)
  • Data Integration (Hard Skills)
  • Big Data Migration (Hard Skills)
  • Database Management (Hard Skills)

10. Data Operations Engineer, NexusStream Solutions, Madison, WI

Job Summary:

  • Ensure all systems and applications in the ecosystem are performing and functioning properly.
  • Execute the rollouts of new jobs. 
  • Monitor and track various alerting systems and address early warnings to mitigate job delays.
  • Test and validate all changes and upgrades necessary.
  • Provide end-user support and training for the tools available in the ecosystem to development teams.
  • Research and test new tools and applications to provide the best experience possible to customers.
  • Participate in on-call rotation.
  • Follow legal policies
  • Automate build, deployment, and operate ETL pipelines
  • Implement facilities to monitor all aspects of data pipeline


Skills on Resume: 

  • System Performance Monitoring (Hard Skills)
  • Job Rollout Execution (Hard Skills)
  • Alert Tracking (Hard Skills)
  • Change Validation (Hard Skills)
  • End-User Support (Soft Skills)
  • Tool Research and Testing (Hard Skills)
  • On-Call Participation (Soft Skills)
  • ETL Automation (Hard Skills)